Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory;
Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory;
当我尝试 运行 使用 tensorflow 的 python 脚本时，它显示以下错误...
2020-10-04 16:01:44.994797: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2020-10-04 16:01:46.780656: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1
2020-10-04 16:01:46.795642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0000:03:00.0 name: TITAN X (Pascal) computeCapability: 6.1
coreClock: 1.531GHz coreCount: 28 deviceMemorySize: 11.91GiB deviceMemoryBandwidth: 447.48GiB/s
2020-10-04 16:01:46.795699: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2020-10-04 16:01:46.795808: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/extras/CUPTI/lib64/:/usr/local/cuda-10.0/lib64
2020-10-04 16:01:46.797391: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2020-10-04 16:01:46.797707: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2020-10-04 16:01:46.799529: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10
2020-10-04 16:01:46.800524: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10
2020-10-04 16:01:46.804150: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7
2020-10-04 16:01:46.804169: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1753] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
nvidia-smi 的输出
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 455.23.05 Driver Version: 455.23.05 CUDA Version: 11.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 TITAN X (Pascal) On | 00000000:03:00.0 Off | N/A |
| 23% 28C P8 9W / 250W | 18MiB / 12194MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1825 G /usr/lib/xorg/Xorg 9MiB |
| 0 N/A N/A 1957 G /usr/bin/gnome-shell 6MiB |
+-----------------------------------------------------------------------------+
Tensorflow 版本 2.3.1，
Ubuntu - 18.04
我尝试完全删除cuda工具包并从头开始安装，但错误仍然存在。
谁能帮我找出问题的根源？？
当您 运行 tensorflow 使用不兼容的 CUDA 版本时，通常会发生这种情况。看起来这已经被问过（无法发表评论）。参考 个问题。
在 Ubuntu 20.04 上，您只需安装 NVIDIAs cuda toolkit cuda:
sudo apt-get update
sudo apt install nvidia-cuda-toolkit
还有install advices for Windows.
包大约 1GB，安装需要一段时间...几分钟后您需要 export PATH 变量以便找到它：
- 查找共享对象
sudo find / -name 'libcudart.so*'
/usr/lib/x86_64-linux-gnu/libcudart.so.10.1
/usr/lib/x86_64-linux-gnu/libcudart.so
- 将文件夹添加到
path，以便 python 找到它
export PATH=/usr/lib/x86_64-linux-gnu${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
- 权限
sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcuda*
你必须download/update Cuda
如果您正在寻找 CUDA 工具包 10.2 下载，请使用此 link：
https://developer.nvidia.com/cuda-10.2-download-archive
然后激活虚拟环境并设置LD_LIBRARY_PATH，例子：
请运行这些命令。这将解决问题
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
sudo apt-get 更新
sudo apt-get -y 安装 cuda
这对我有用：
sudo apt-get install libcudart10.1
今天我遇到了这个问题。我去了 CUDA toolkit website，选择了选项，然后显示了一些这样的说明：
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.6.2/local_installers/cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu2004-11-6-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda # I have broken packages, so could not invoke this command
因此说明会根据您的规格而改变，请勿从 here/other Whosebug 答案中复制。
我无法调用最后一个命令，但经过反复试验，我调用了：
sudo apt install libcudart.so.11.0 # this worked for me!
这对我有用！
当我尝试 运行 使用 tensorflow 的 python 脚本时，它显示以下错误...
2020-10-04 16:01:44.994797: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2020-10-04 16:01:46.780656: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1
2020-10-04 16:01:46.795642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0000:03:00.0 name: TITAN X (Pascal) computeCapability: 6.1
coreClock: 1.531GHz coreCount: 28 deviceMemorySize: 11.91GiB deviceMemoryBandwidth: 447.48GiB/s
2020-10-04 16:01:46.795699: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2020-10-04 16:01:46.795808: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/extras/CUPTI/lib64/:/usr/local/cuda-10.0/lib64
2020-10-04 16:01:46.797391: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2020-10-04 16:01:46.797707: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2020-10-04 16:01:46.799529: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10
2020-10-04 16:01:46.800524: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10
2020-10-04 16:01:46.804150: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7
2020-10-04 16:01:46.804169: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1753] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
nvidia-smi 的输出
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 455.23.05 Driver Version: 455.23.05 CUDA Version: 11.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 TITAN X (Pascal) On | 00000000:03:00.0 Off | N/A |
| 23% 28C P8 9W / 250W | 18MiB / 12194MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1825 G /usr/lib/xorg/Xorg 9MiB |
| 0 N/A N/A 1957 G /usr/bin/gnome-shell 6MiB |
+-----------------------------------------------------------------------------+
Tensorflow 版本 2.3.1， Ubuntu - 18.04
我尝试完全删除cuda工具包并从头开始安装，但错误仍然存在。 谁能帮我找出问题的根源？？
当您 运行 tensorflow 使用不兼容的 CUDA 版本时，通常会发生这种情况。看起来这已经被问过（无法发表评论）。参考
在 Ubuntu 20.04 上，您只需安装 NVIDIAs cuda toolkit cuda:
sudo apt-get update
sudo apt install nvidia-cuda-toolkit
还有install advices for Windows.
包大约 1GB，安装需要一段时间...几分钟后您需要 export PATH 变量以便找到它：
- 查找共享对象
sudo find / -name 'libcudart.so*'
/usr/lib/x86_64-linux-gnu/libcudart.so.10.1
/usr/lib/x86_64-linux-gnu/libcudart.so
- 将文件夹添加到
path，以便 python 找到它
export PATH=/usr/lib/x86_64-linux-gnu${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
- 权限
sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcuda*
你必须download/update Cuda
如果您正在寻找 CUDA 工具包 10.2 下载，请使用此 link： https://developer.nvidia.com/cuda-10.2-download-archive
然后激活虚拟环境并设置LD_LIBRARY_PATH，例子：
请运行这些命令。这将解决问题
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
sudo apt-get 更新
sudo apt-get -y 安装 cuda
这对我有用：
sudo apt-get install libcudart10.1
今天我遇到了这个问题。我去了 CUDA toolkit website，选择了选项，然后显示了一些这样的说明：
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.6.2/local_installers/cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu2004-11-6-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda # I have broken packages, so could not invoke this command
因此说明会根据您的规格而改变，请勿从 here/other Whosebug 答案中复制。
我无法调用最后一个命令，但经过反复试验，我调用了：
sudo apt install libcudart.so.11.0 # this worked for me!
这对我有用！